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| Criterion |  Operations PDCA Cycle |  Growth A/B Testing |  Business Strategy Strategy Execution Loop |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | The Strategy Execution Loop helps avoid treating strategy as a one-off document. It makes visible how strategic decisions are turned into objectives, initiatives, operational work, measurement, and learning. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. |
Complexitydifferent | Low | High | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 1-4 Wochen | Initial 3-6 h, then monthly or quarterly reviews | 1-2 Wochen |
Participantsdifferent | 1-8 | 1-6 | 5-12 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary | Execution Loop, Review Cadence, Strategic Learning Log | Experiment card, Result summary, Next bet |
Tagsno overlap | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | ExecutionCadenceLearningGovernance | MarketingGrowthExperimentsLearning |